As a Senior AI & Cloud-Native Software Architect, you will own the software and cloud-native architecture of AI-enabled applications and retrieval systems, and lead their design, build and productionization. This role combines architectural leadership with hands-on engineering and the reliability, security and observability required for production workloads.
What you will do
1. Architectural Leadership & Strategy
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Solution Design: Lead the design of scalable, secure and resilient software architectures for AI-enabled applications, defining service boundaries, data flows, APIs and integration patterns.
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Cloud-Native Architecture: Define cloud-native architecture patterns across microservices, containers, serverless and event-driven systems, selecting the right compute, messaging and data services for each workload.
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AI Architecture: Design reference architectures for GenAI and RAG solutions, covering model selection, retrieval strategy, data governance and tenant isolation.
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Architecture Governance: Define non-functional requirements (scalability, availability, latency, cost), evaluate trade-offs against the AWS Well-Architected Framework and record decisions in Architecture Decision Records (ADRs).
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Security by Design: Embed identity, authorization, secrets management and data protection into the architecture from the outset.
2. AI & Cloud-Native Engineering
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GenAI Productionization: Productionize GenAI applications with model routing, evaluation, guardrails and cost/latency optimization.
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RAG Pipelines: Build RAG pipelines covering ingestion, embeddings, vector storage, permission-aware retrieval and grounding.
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Backend Services: Develop cloud-native backend services using TypeScript/Node.js and/or Python.
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Event-Driven Workflows: Design event-driven workflows with queues, workers, webhooks, retries and dead-letter handling.
3. Technical Consultancy & Stakeholder Management
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Business Translation: Translate business use cases into technical designs, assessments and executable backlogs.
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Strategic Documentation: Produce clear technical reports, architecture assessments, findings, recommendations and executive summaries.
4. Mentorship & Hands-On Execution
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Technical Ownership: Take accountability for the architecture of each engagement from discovery to go-live, keeping implementation aligned with the agreed design.
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Team Guidance: Guide engineers through architecture and code reviews, and set standards for design, coding and testing.
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Observability: Implement monitoring, tracing, alerting and operational runbooks.
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CI/CD & Deployment: Build secure CI/CD pipelines and containerized or serverless deployments.
Job requirements
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7+ years of software engineering experience ( Typescript/ Nodejs or Python)
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Proven experience owning the architecture of production distributed systems (microservices, domain-driven design, REST and asynchronous APIs).
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Deep knowledge of cloud-native patterns: containers and Kubernetes, serverless, event-driven and asynchronous messaging, and resilience patterns such as idempotency, circuit breakers and back-pressure.
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Experience documenting architectures and decisions (C4 model, ADRs or similar), defining non-functional requirements and running trade-off analysis.
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Strong understanding of identity, authorization, secrets management, network isolation and data protection in cloud-native systems.
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Hands-on delivery of production GenAI or LLM applications, including evaluation and AI safety controls.
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Experience with RAG, embeddings, and vector databases (pgvector, OpenSearch, or equivalent).
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REST APIs, event-driven systems and third-party integrations
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PostgreSQL, Redis and object storage.
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Docker, CI/CD, automated testing and production troubleshooting.
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LLM evaluation, prompt/version management and AI safety controls.
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Observability using OpenTelemetry and platforms such as Grafana, Datadog or CloudWatch.
Nice to have
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AWS: Bedrock, Lambda, API Gateway, SQS, EventBridge, Step Functions, ECS/EKS, Aurora PostgreSQL, DynamoDB.
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Conversational and contact center: WhatsApp Business API, Amazon Connect, Amazon Lex, Twilio, voice bots.
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Terraform, CloudFormation, or CDK.
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AWS Certified Solutions Architect – Professional or equivalent.
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Customer-facing consulting experience and comfort presenting to executive stakeholders.
Engagement details
Part time
Remote
Contractor Hourly
Start: ASAP
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